The field of view estimation network is build on convolutional blocks followed with leaky
ReLU [1]} activation. The network is trained with ADAM [2]} optimizer,
jointly with the panorama synthesis network on the smallest scale only.
We minimize the multi class cross entropy loss function, where each N vectors
correspond to the predicted field of view.
